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Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space - Nature Communications

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Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space - Nature Communications

Computational tools for integrative analyses of diverse single-cell experiments are facing formidable new challenges including dramatic increases in data scale, sample heterogeneity, and the need to informatively cross-reference new data with foundational datasets. Here, we present SCALEX, a deep-learning method that integrates single-cell data by projecting cells into a batch-invariant, common cell-embedding space in a truly online manner (i.e., without retraining the model).

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Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space - Nature Communications

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Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space - Nature Communications

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